Anti-bot & CAPTCHA handling
Court portals block automated access by design. We built an in-house ML audio-CAPTCHA solver and parallel headless-browser farms that keep extraction running without paid third-party CAPTCHA services.
Inteligencia de Datos Jurídicos
Legal tech data, extracted at scale.
CragSoftware builds the data backbone for legal tech platforms — turning court filings, case records, and legal documents into structured, queryable datasets, even behind CAPTCHAs and anti-bot defenses.
23M+Court cases scraped
4Courts covered
30+E-filing tables processed daily
1 monthTypical large-scale delivery
— Probado a escala
Casos de estudio en producción.
01Ingeniería de datos · Legal · PropTech
Connecticut Foreclosure Intelligence
Plataforma B2B que convierte datos judiciales de Connecticut en inteligencia de foreclosure — web app, Excel y pipeline ETL en Python.
Ver caso completo02Ingeniería de datos · Legal
Judicial Scraper
Extracción a gran escala de expedientes judiciales brasileños — 23 millones de casos en cuatro tribunales, para una plataforma de IA legal.
Ver caso completo— Por qué los equipos legal tech nos eligen
Hecho para cómo funcionan realmente los datos judiciales.
Document & PDF processing
OCR, entity extraction, and equity/clause extraction from filings, rulings, and case documents — structured and ready for your AI stack or case-management system.
Production reliability
Real-time checkpointing, QA audit trails, and scheduled runs so a blocked session or a court portal change never wipes hours of progress.
Built for legal workflows
We understand procedural status priority, forensic business-day calendars, and jurisdiction-specific rules — not just generic scraping.
— Cómo trabajamos01 02 03 04
De la auditoría de la fuente al pipeline en producción.
Source audit
We map each court portal's pagination, CAPTCHAs, rate limits, and document formats before writing a line of code.
Pilot extraction
A narrow slice in production-like conditions so you validate data quality and coverage early.
Scale & harden
Parallel workers, checkpointing, and monitoring so extraction runs reliably across millions of records.
Deliver & operate
Structured data lands in your database, warehouse, or AI pipeline — with ongoing maintenance as portals change.
— FAQ
Preguntas de equipos legal tech.
Is scraping public court records legal?
Court records and e-filing data are public by design. We build extraction pipelines that respect each portal's access rules and jurisdiction-specific constraints.
Can you handle CAPTCHA-protected court portals?
Yes — including audio CAPTCHAs. We've built in-house ML solvers (no paid third-party CAPTCHA APIs) and combine them with proxy rotation and headless browser automation.
Do you sign NDAs and handle sensitive legal data securely?
Yes. Legal data pipelines typically involve NDAs, access controls, and audit trails — we scope security requirements before any data starts moving.
Is this a one-time extraction or can you run ongoing monitoring?
Both. We've delivered one-month, one-off extractions of 23M+ records, and we also run daily production pipelines that keep case data continuously current.
What do you deliver — raw data or a usable system?
Structured databases (SQLite/PostgreSQL), Excel reports, or a full web application with filters and role-based access — scoped to how your team actually works.
Empieza aquí
Need court or legal data at scale?
Tell us which courts, jurisdictions, or document types you need — we'll scope a pilot and a realistic delivery timeline.